Senior AI Data Platform Engineer (AWS/DevOps)

Encora; Buenos Aires; Ibrido; ARS 3.000.000 - 5.400.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive compensation

Comprehensive benefits

Flexible work environment

Annual wellness and community outreach

Descrizione del lavoro

Proofpoint in Córdoba, Argentina, is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role combines platform engineering with data infra, focusing on reliability, automation, and scalable data pipelines using AWS.

You will own CI/CD for AWS Glue ETL, build IaC, and improve observability, security, and developer experience while collaborating with data engineers and security teams.

Competenze

• 5+ years of professional experience in DevOps, platform engineering, or SRE with at least 2 years in data engineering.
• Deep expertise with AWS core services (S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager).
• Hands-on experience with Glue, Athena, and S3 lifecycle and encryption.
• Proficiency with Infrastructure-as-Code tools Terraform and/or AWS CDK.
• Strong CI/CD experience (GitHub Actions, Jenkins, GitLab CI).
• Experience with container technologies (Docker) and container orchestration (ECS/EKS/Kubernetes).
• Proven ability to design and operate observability systems (metrics, logging, distributed tracing, alerting) for data and platform services.
• Strong communication skills-able to translate operational concerns into clear engineering trade-offs for both technical and non-technical audiences.

Mansioni

• Design, implement, and maintain CI/CD pipelines for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.
• Build and manage cloud infrastructure on AWS using Infrastructure-as-Code (Terraform and/or AWS CDK) covering S3 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.
• Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts to ensure SLA compliance and fast incident response.
• Develop and maintain the DataOps platform—self-service tooling, pipeline templates, and shared libraries for production-grade pipelines.
• Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.
• Design and operate workflow orchestration environments (Amazon MWAA / Apache Airflow, AWS Step Functions).
• Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation across the data lake on S3.
• Drive security best practices across the data platform: secrets management, least-privilege IAM, network segmentation, and compliance controls.
• Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.
• Lead incident response for data platform outages: on-call participation, root-cause analysis, and post-mortem-driven improvements.
• Mentor junior engineers on DevOps and data engineering practices, conduct code and design reviews, and contribute to architecture decision records.

Conoscenze

DevOps

SRE

Data engineering

Cloud experience

Communication skills

Strumenti

AWS

Terraform

AWS CDK

GitHub Actions

Jenkins

GitLab CI

Docker

ECS/EKS

Kubernetes

Airflow / MWAA

Glue

Athena

S3

CloudWatch

Datadog

CDK

Descrizione del lavoro

Proofpoint in Córdoba, Argentina, is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This hybrid role combines platform engineering with data infra, focusing on reliability, automation, and scalable data pipelines using AWS.

You will own CI/CD for AWS Glue ETL, build IaC, and improve observability, security, and developer experience while collaborating with data engineers and security teams.